Model Intelligence Sheet
mradermacher/raptor-x1-gguf overview
About static quants of https://huggingface.co/prithivMLmods/Raptor-X1 For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Downloads
111
Likes
1
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
11 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Raptor-X1.IQ4_XS.gguf | GGUF | IQ4_XS | 7.62 GB | Download |
| Raptor-X1.Q2_K.gguf | GGUF | Q2_K | 5.37 GB | Download |
| Raptor-X1.Q3_K_L.gguf | GGUF | Q3_K_L | 7.38 GB | Download |
| Raptor-X1.Q3_K_M.gguf | GGUF | Q3_K_M | 6.84 GB | Download |
| Raptor-X1.Q3_K_S.gguf | GGUF | Q3_K_S | 6.20 GB | Download |
| Raptor-X1.Q4_K_M.gguf | GGUF | Q4_K_M | 8.37 GB | Download |
| Raptor-X1.Q4_K_S.gguf | GGUF | Q4_K_S | 7.98 GB | Download |
| Raptor-X1.Q5_K_M.gguf | GGUF | Q5_K_M | 9.79 GB | Download |
| Raptor-X1.Q5_K_S.gguf | GGUF | Q5_K_S | 9.56 GB | Download |
| Raptor-X1.Q6_K.gguf | GGUF | Q6_K | 11.29 GB | Download |
| Raptor-X1.Q8_0.gguf | GGUF | — | 14.62 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "prithivMLmods/Raptor-X1",
"datasets": [
"Tesslate/UIGEN-T1.5-Dataset",
"Tesslate/Tessa-T1-Dataset",
"smirki/UI_Reasoning_Dataset",
"reasoning-machines/gsm-hard"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"Reasoning",
"Raptor",
"X1",
"Coder",
"Html",
"Css",
"React",
"Python",
"Java",
"Qwen"
],
"frontmatter": {
"base_model": "prithivMLmods/Raptor-X1",
"datasets": [
"Tesslate/UIGEN-T1.5-Dataset",
"Tesslate/Tessa-T1-Dataset",
"smirki/UI_Reasoning_Dataset",
"reasoning-machines/gsm-hard"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"Reasoning",
"Raptor",
"X1",
"Coder",
"Html",
"Css",
"React",
"Python",
"Java",
"Qwen"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/prithivMLmods/Raptor-X1 ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: prithivMLmods/Raptor-X1\ndatasets:\n- Tesslate/UIGEN-T1.5-Dataset\n- Tesslate/Tessa-T1-Dataset\n- smirki/UI_Reasoning_Dataset\n- reasoning-machines/gsm-hard\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- Reasoning\n- Raptor\n- X1\n- Coder\n- Html\n- Css\n- React\n- Python\n- Java\n- Qwen\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\nstatic quants of https://huggingface.co/prithivMLmods/Raptor-X1\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Raptor-X1-GGUF).***\n\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q2_K.gguf) | Q2_K | 5.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q3_K_S.gguf) | Q3_K_S | 6.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q3_K_M.gguf) | Q3_K_M | 7.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q3_K_L.gguf) | Q3_K_L | 8.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.IQ4_XS.gguf) | IQ4_XS | 8.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q4_K_S.gguf) | Q4_K_S | 8.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q4_K_M.gguf) | Q4_K_M | 9.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q5_K_S.gguf) | Q5_K_S | 10.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q5_K_M.gguf) | Q5_K_M | 10.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q6_K.gguf) | Q6_K | 12.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q8_0.gguf) | Q8_0 | 15.8 | fast, best quality |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"text-generation-inference",
"Reasoning",
"Raptor",
"X1",
"Coder",
"Html",
"Css",
"React",
"Python",
"Java",
"Qwen",
"en",
"dataset:Tesslate/UIGEN-T1.5-Dataset",
"dataset:Tesslate/Tessa-T1-Dataset",
"dataset:smirki/UI_Reasoning_Dataset",
"dataset:reasoning-machines/gsm-hard",
"base_model:prithivMLmods/Raptor-X1",
"base_model:quantized:prithivMLmods/Raptor-X1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 1,
"downloads": 111,
"gated": false,
"private": false,
"last_modified": "2025-07-11T08:00:21.000Z",
"created_at": "2025-03-26T11:10:55.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "67e3e0bf0045965c803f52a3",
"id": "mradermacher/Raptor-X1-GGUF",
"modelId": "mradermacher/Raptor-X1-GGUF",
"sha": "8b4dcb74e2c6d8ab9259d06bc696fb94d3e0f6c9",
"createdAt": "2025-03-26T11:10:55.000Z",
"lastModified": "2025-07-11T08:00:21.000Z",
"author": "mradermacher",
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"siblings_count": 13
}